Software Engineer Node Js

Sajan Kumar Swain

Mumbai, India +91-832******* ****************@*****.*** 2 LinkedIn 2 GitHub 2 Introduction

Software engineer with around 1.5 years of experience building high-performance backend systems with Node.js, TypeScript, JavaScript and PostgreSQL. My core focus is on developing intelligent applications by integrating advanced AI technologies. I have practical experience architecting RAG systems, managing vector databases, and using prompt engineering to translate natural language into actionable data and accurate responses. Technical Proficiencies

Languages: TypeScript, JavaScript, SQL

Backend: Node.js, Express.js, RESTful APIs

Databases: PostgreSQL, MySQL, Elasticsearch, Supabase, Redis

AI/ML: Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering

Tools: Git, Docker, Performance Optimization, Postman Experience

Software Engineer

Unico Connect Pvt. Ltd.

Mumbai, MH, India

Sep 2024 – Present

Developed Brain AI, a multi-component AI system to automate and enhance student support:

– Intelligent Routing Engine: Directed user queries to the correct AI service with 94% accuracy.

– RAG Knowledge Base: Provided instant answers from documents with 88% precision.

– AI-to-SQL Engine: Enabled live database querying using natural language questions.

– Voice Cloning: Implemented a feature to generate personalized, dynamic audio responses.

Engineered a client benchmark reporting system using an Elasticsearch pipeline to aggregate complex mar- keting data, influencing the product roadmap and client acquisition. Software Intern

BridgeLabz

Bengaluru, KA, India

May 2024 – Jun 2024

Built the complete backend for ”Fundoo Notes”, a feature-rich notes application, using Node.js and Type- Script.

Integrated Redis for high-speed data caching.

Projects

AI-Powered QA System (Brain AI) July 2024 – Present

Architected an AI system with an intelligent router, RAG knowledge base, AI-to-SQL engine, and voice cloning to automate student support.

Achieved 94% routing accuracy and 88% precision in document retrieval, significantly improving response quality.

Key Technologies: Node.js, RAG, Vector Databases, Prompt Engineering. German Marketing Solutions Project Apr 2024 – Jun 2024

Implemented Elasticsearch to build a high-speed data processing pipeline for client-facing benchmark reports, enabling rapid aggregation and analysis of complex marketing data to generate compelling sales insights.

Conducted technical research on next-generation asset generation tools and competitor insight platforms, presenting findings that influenced the product roadmap and strategically enhanced report value for client acquisition.

Key Technologies: Elasticsearch, Data Pipelines, Research & Competitive Analysis. Personal Developer Portfolio Jan 2024 GitHub 2 Live Demo 2

Designed and built a responsive personal portfolio from scratch to showcase technical skills and projects.

Key Technologies: HTML5, CSS3, JavaScript.

Education

Gandhi Institute For Technology, BBSR, Odisha

B.Tech in Electronics and Communication Engineering 2017 – 2021

CGPA: 7.50/10.0

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